Ship detection in panchromatic images: a new method and its DSP implementation
Yuan Yao, Zhiguo Jiang, Haopeng Zhang, Mengfei Wang, Gang Meng · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2016
In this paper, a new ship detection method is proposed after analyzing the characteristics of panchromatic remote sensing images and ship targets. Firstly, AdaBoost(Adaptive Boosting) classifiers trained by Haar features are utilized to make coarse detection of ship targets. Then LSD (Line Segment Detector) is adopted to extract the line features in target slices to make fine detection. Experimental results on a dataset of panchromatic remote sensing images with a spatial resolution of 2m show that the proposed algorithm can achieve high detection rate and low false alarm rate. Meanwhile, the algorithm can meet the needs of practical applications on DSP (Digital Signal Processor).